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129
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ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ROBOCUP
2004
Springer
97views Robotics» more  ROBOCUP 2004»
15 years 8 months ago
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach
The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on trea...
Gregory Kuhlmann, Peter Stone, Justin Lallinger
129
Voted
ACL
1998
15 years 4 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
AMC
2007
138views more  AMC 2007»
15 years 3 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
122
Voted
AGI
2008
15 years 5 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch